Coordination and learning in multirobot systems
Maja J. Matarić · IEEE Intelligent Systems and their Applications · 1998
Finding methods for generating coherent, robust, useful and adaptive behavior in groups of autonomous robots is an increasingly active area of research. The incremental approach to robotics-first studying control and learning in a single robot-is not sufficient or even relevant (for some problems) to the multi-robot coordination and learning problem. Instead, the problem requires a general approach-which is fundamentally different from most of today's robot control and learning methods-to make the necessary strides in this challenging domain. Based on our research of situated, embodied systems, we suggest that control and learning in multi-robot systems must be addressed as a separate, novel and unified problem-not an additional "module" in a single-robot approach. We propose a bottom-up methodology to produce the desired system behavior.